Qwen2.5 14B Instruct › Apple M1 Pro (14-core GPU)

Qwen2.5 14B Instruct on the Apple M1 Pro (14-core GPU)

Best measured: 10.4 tokens/s generation and 89 tokens/s prompt processing (Q4_K_M, llamafile).

For comparison, our size-scaling estimate for this combination is 19.1 tok/s.

Every run

QuantBackendGenerate tok/sPrompt tok/sTestBuild / by / notesSource
Q4_K_Mllamafile 10.892LocalScore avg LocalScore rank 167/418LocalScore (localscore.ai)
Q4_K_Mllamafile 10.489LocalScore avg LocalScore rank 170/418LocalScore (localscore.ai)
Q4_K_Mllamafile 8.983LocalScore avg LocalScore rank 176/418LocalScore (localscore.ai)

tg128 = generating 128 tokens; pp512 = reading a 512-token prompt (llama-bench). LocalScore averages several prompt and output lengths, so its numbers run lower than tg128.

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